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Nature inspires Oak Ridge National Laboratory algorithms for neuromorphic processors
News
MiC Seminars
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Efficient Inversion of Large-scale Problems Exploiting Structure and Randomization
Event
Statistics, Topology, and Data Analysis
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A Feynman-Kac based numerical method for the exit time probability of a class of transport problems
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Uncertainty Characterization and Modeling using Positive-definite Random Matrix Ensembles and Polynomial Chaos Expansions
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A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models
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A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
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A stochastic optimal control framework for quantifying and reducing uncertainties in deep learning
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Katie Schuman wins IEEE-CS Early Career Researcher Awards in HPC
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Revisiting Solutions of Block Tridiagonal Systems: A Parallel Algorithms Perspective
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Applications of Sparse Grids Discontinuous Galerkin Schemes
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Modern Neutrino Physics in Simulations of Supernovae and Neutron Star Mergers
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Next generation dense linear algebra provided by SLATE
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An Integrated Two-Factor Authentication Solution Using Pulse Connect Secure and Apache HTTP Server
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